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Article
Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence
Faculty Scholarship
  • Ted Smith, University of Louisville
  • Rochelle H Holm, University of Louisville
  • Rachel J. Keith, University of Louisville
  • Alok R. Amraotkar, University of Louisville
  • Chance R. Alvarado, The Ohio State University
  • Krzysztof Banecki, Warsaw University of Technology
  • Boseung Choi, Korea University - Korea
  • Ian Santisteban, University of Louisville
  • Adrienne M. Bushau-Sprinkle, University of Louisville
  • Kathleen T. Kitterman, University of Louisville
  • Joshua Fuqua, University of Louisville
  • Krystal T. Hamorsky, University of Louisville
  • Kenneth E. Palmer, University of Louisville
  • J. Michael Brick, Westat, Inc.
  • Aruni Bhatnagar, University of Louisville
  • Grzegorz A. Rempala, The Ohio State University
Document Type
Article
Publication Date
9-6-2022
Department
Medicine
Department
Pharmacology and Toxicology
Abstract

Robust epidemiological models relating wastewater to community disease prevalence are lacking. Assessments of SARS-CoV-2 infection rates have relied primarily on convenience sampling, which does not provide reliable estimates of community disease prevalence due to inherent biases. This study conducted serial stratified randomized samplings to estimate the prevalence of SARS-CoV-2 antibodies in 3717 participants and obtained weekly samples of community wastewater for SARS-CoV-2 concentrations in Jefferson County, KY (USA) from August 2020 to February 2021. Using an expanded Susceptible-Infected-Recovered model, the longitudinal estimates of the disease prevalence were obtained and compared with the wastewater concentrations using regression analysis. The model analysis revealed significant temporal differences in epidemic peaks. The results showed that in some areas, the average incidence rate,

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© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

DOI
10.1016/j.scitotenv.2022.158567
ORCID
0000-0001-8849-1390
Citation Information

Ted Smith, Rochelle H. Holm, Rachel J. Keith, Alok R. Amraotkar, Chance R. Alvarado, Krzysztof Banecki, Boseung Choi, Ian C. Santisteban, Adrienne M. Bushau-Sprinkle, Kathleen T. Kitterman, Joshua Fuqua, Krystal T. Hamorsky, Kenneth E. Palmer, J. Michael Brick, Grzegorz A. Rempala, Aruni Bhatnagar, Quantifying the relationship between sub-population wastewater samples and community-wide SARS-CoV-2 seroprevalence, Science of The Total Environment, Volume 853, 2022, 158567, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2022.158567. (https://www.sciencedirect.com/science/article/pii/S0048969722056662)